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Results: 4494
Towards an Insight Into Customer Behavior in Virtual Brand Communities
This study aims at exploring the effects of customer’s personal factors and characteristics of brand community on customers’ behaviors in virtual brand community. The data were collected from customers of virtual brand...
Published by: IGI Global
Machine Learning Based Admission Data Processing for Early Forecasting Students' Learning Outcomes
In this paper, the authors explore the factors to improve the accuracy of predicting student learning outcomes. The method can remove redundant and irrelevant factors to get a “clean” data set without having to solve the NP-Hard...
Published by: IGI Global
The Impact of Corporate Social Responsibility Performance on Competitive Advantage and Business Success
This study investigates how types of corporate social responsibility (CSR) practices (economic, legal, ethical, philanthropic, and environmental) affect competitive advantage and business success in an emerging country. Data...
Published by: IGI Global
Clinical and laboratory factors associated with neonatal sepsis mortality at a major Vietnamese children's hospital.
Nguyen Duc Toan, Thomas C Darton, Nguyen Hoang Thien Huong, Le Thanh Hoang Nhat, To Nguyen Thi Nguyen, Ha Thanh Tuyen, Le Quoc Thinh, Nguyen Kien Mau, Pham Thi Thanh Tam, Cam Ngoc Phuong, Le Nguyen Thanh Nhan, Ngo Ngoc Quang Minh, Ngo Minh Xuan, Tang Chi Thuong, Nguyen Thanh Hung, Christine Boinett, Stephen Reece, Abhilasha Karkey, Jeremy N Day, Stephen Baker
Apr 17, 2023
Sepsis is a major cause of neonatal mortality and children born in low- and middle-income countries (LMICs) are at greater risk of severe neonatal infections than those in higher-income countries. Despite this disparity, there...
Published by: PLOS global public health
The Influences of FDI, GFCF, OPEN on Vietnamese Economic Growth
The aim of study is to research the influences of Foreign Direct Investment (FDI), Gross Fixed Capital Formation (GFCF), Trade Openness of the Economy (OPEN) on Vietnam economic growth. This study uses the annual data for the...
Published by: IGI Global
An Investigation of Student Satisfaction in an Online Language Learning Course
Online learning's application in the language learning process has become an important topic as the COVID-19 crisis has restricted in-person classes. This study investigates student satisfaction in an online language learning...
Published by: IGI Global
Large-Scale Software-Defined IoT Platform for Provisioning IoT Services on Demand
Internet of things (IoT) has developed into an interconnected platform infrastructure for providing everyday services. Emerging end-to-end IoT services are being developed for local and multiple distributed regions. To realize...
Published by: IGI Global
The Effect of Culture on Performance Expectancy, Intention, and Trust in Mobile Payment Adoption
This study aims to investigate the role of culture at an individual level in the context of m-payment adoption. Specifically, it examines the effect of uncertainty avoidance and collectivism based on the Hofstede cultural...
Published by: IGI Global
Ethics of Retailers and Consumer Behavior in E-Commerce
In the era of the information-communication technology with the development of electronic commerce, consumers can buy almost everything anywhere and at any time. One of the greatest benefits of e-commerce has been the...
Published by: IGI Global
Employee Theft Behavior
Employee theft has becoming a serious and challenging issue for all businesses, especially to hotel organizations where employees have easy access to cash, amenities, and other inventories and items. This research is based on...
Published by: IGI Global
The Influence of Personality Traits on Intention to Purchase Green Products
Resource depletion and environmental degradation are moving society toward a hierarchical model of environmental concerns and green purchase intention. Companies and individuals have not only been awakened to these issues but...
Published by: IGI Global
A Model of Semantic-Based Image Retrieval Using C-Tree and Neighbor Graph
The problems of image mining and semantic image retrieval play an important role in many areas of life. In this paper, a semantic-based image retrieval system is proposed that relies on the combination of C-Tree, which was built...
Published by: IGI Global
A New Approach for Fairness Increment of Consensus-Driven Group Recommender Systems Based on Choquet Integral
It has been witnessed in recent years for the rising of Group recommender systems (GRSs) in most e-commerce and tourism applications like Booking.com, Traveloka.com, Amazon, etc. One of the most concerned problems in GRSs is to...
Published by: IGI Global
How Perceived Risk and Suspicion Moderates the Relationship Between Information Source, eWOM, and Purchasing Decision
This research aimed to examine the customer behavior in online shopping by measuring product characteristics, information sources, perceived risk, electronic word-of-mouth, suspicion, and purchase decision with the moderation...
Published by: IGI Global
A Co-Word and Co-Citation Analysis of Digital Marketing Research
As one of the most recent forms of marketing, digital marketing has emerged as the fastest-growing sector of the industry. A large number of academic studies have been published on different aspects of this field. The main...
Published by: IGI Global
A Quality Function Deployment Approach Through Management and Technology Development
Corrugated paper industry is an indispensable industry and it has been developed for more than fifty years. Hence, it is important for a firm to find its core competence, study effective business strategies, and form a long-term...
Published by: IGI Global
The Effects of Sampling Methods on Machine Learning Models for Predicting Long-term Length of Stay
The ability to predict the patients with long-term length of stay (LOS) can aid a hospital's admission management, maintain effective resource utilization and provide a high quality of inpatient care. Hospital discharge data...
Published by: IGI Global
A Hybrid Differential Evolution and Harmony Search for Optimal Power Flow With FACTS Devices
This paper proposes a hybrid differential evolution (DE) and harmony search (HS) for solving optimal power flow (OPF) problem with FACTS devices including static Var compensator (SVC), thyristor-controlled series compensation...
Published by: IGI Global
Using Formative Assessment in a Blended EFL Listening Course
This paper explores how a formative assessment-based blended English-as-a-foreign-language (EFL) listening course affects students' perceptions of their listening performance and what difficulties they may encounter during the...
Published by: IGI Global
Daring to Stretch toward the Ultimate Consummation
Daniel Helminiak
Mar 16, 2022
Daniel A. Helminiak is Emeritus Professor of Psychology, University of West Georgia. He holds PhDs in theology and psychology and has published widely in these fields and their applications to spirituality and sexuality. Among...
Published by: Memorial University of Newfoundland
Exploring Consumer Adoption of Mobile Shopping Apps From a Perspective of Elaboration Likelihood Model
This study aims to integrate perceived risk into elaboration likelihood model, develop a comprehensive research model to explain dual routes of persuasive communication through various factors affecting individual acceptance and...
Published by: IGI Global
The Behavioral Intention of Using Online Food Delivery Services During the COVID-19 Pandemic in Vietnam
Growing internet technology has incurred variations in customer way of life and online shopping habits. Originating from the integrated framework of technology acceptance model and health belief model, the purpose of this study...
Published by: IGI Global
Organization and Management Past to Present
Thomas Joseph
Apr 01, 2020
This article examined the historical evolution of organization and management theories and their applicability to practice in modern enterprise. Management and organizational theories each add something to the awareness of what...
Published by: IGI Global
An Enhanced Multi-Frequency Distorted Born Iterative Method for Ultrasound Tomography Based on Fundamental Tone and Overtones
Conventional Distorted Born Iterative Method (DBIM) using single frequency has low resolution and is prone to creating images with high-contrast subjects. We propose a productive frequency combination method to better result in...
Published by: IGI Global
CT-guided vs. fluoroscopically guided transforaminal epidural steroid injections for lumbar radiculopathy
Jozef PM Kamp, Jonathan Bartlett, Amr Fahmy, Kendrick To, Rumana Hossain, Maheswara Akula
Apr 17, 2023
INTRODUCTION: There are no formal guidelines for whether CT-guided or fluoroscopy-guided TFESI should be undertaken for patients with symptoms of lumbar nerve root irritation and corresponding nerve impingement. Here, we sought...
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